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ORCIDSibarama Panigrahi
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2020 – today
- 2024
[j16]Sourav Kumar Purohit, Sibarama Panigrahi
:
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models. Inf. Sci. 658: 120021 (2024)- 2023
- [j15]Gyanaranjan Shial, Sabita Sahoo, Sibarama Panigrahi:
An Enhanced GWO Algorithm with Improved Explorative Search Capability for Global Optimization and Data Clustering. Appl. Artif. Intell. 37(1) (2023) - [j14]Gyanaranjan Shial, Sabita Sahoo, Sibarama Panigrahi:
A Nature Inspired Hybrid Partitional Clustering Method Based on Grey Wolf Optimization and JAYA Algorithm: A NATURE INSPIRED HYBRID PARTITIONAL CLUSTERING METHOD BASED ON GWO AND JAYA ALGORITHM. Comput. Sci. 24(3) (2023) - [j13]Sushree Subhaprada Pradhan, Sibarama Panigrahi, Sourav Kumar Purohit, Jatindra Kumar Dash:
Study and development of hybrid and ensemble forecasting models for air quality index forecasting. Expert Syst. J. Knowl. Eng. 40(10) (2023) - [j12]Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi:
A novel high order hesitant fuzzy time series forecasting by using mean aggregated membership value with support vector machine. Inf. Sci. 626: 494-523 (2023) - [j11]Rojalin Pradhan, Sibarama Panigrahi, Prabhat K. Sahu:
Conformational Search for the Building Block of Proteins Based on the Gradient Gravitational Search Algorithm (ConfGGS) Using Force Fields: CHARMM, AMBER, and OPLS-AA. J. Chem. Inf. Model. 63(2): 670-690 (2023) - [j10]Kalyan Das, Satyabrata Das, Sibarama Panigrahi:
Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method. Wirel. Pers. Commun. 129(4): 2929-2944 (2023) - 2022
- [j9]Rajesh Yelchuri, Jatindra Kumar Dash, Priyanka Singh, Arunanshu Mahapatro, Sibarama Panigrahi:
Exploiting deep and hand-crafted features for texture image retrieval using class membership. Pattern Recognit. Lett. 160: 163-171 (2022) - 2021
- [j8]Sourav Kumar Purohit, Sibarama Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera:
Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods. Appl. Artif. Intell. 35(15): 1388-1406 (2021) - [j7]Santi Kumari Behera, Prabira Kumar Sethy, Santosh Kumar Sahoo, Sibarama Panigrahi, Sharad Chandra Rajpoot:
On-tree fruit monitoring system using IoT and image analysis. Concurr. Eng. Res. Appl. 29(1) (2021) - [j6]Radha Mohan Pattanayak, Himansu Sekhar Behera, Sibarama Panigrahi:
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting. Eng. Appl. Artif. Intell. 99: 104136 (2021) - [j5]Prabira Kumar Sethy, Chanki Pandey, Mohammad Rafique Khan, Santi Kumari Behera, K. Vijaykumar, Sibarama Panigrahi:
A cost-effective computer-vision based breast cancer diagnosis. J. Intell. Fuzzy Syst. 41(5): 5253-5263 (2021) - 2020
- [j4]Sibarama Panigrahi, Himansu Sekhar Behera:
A study on leading machine learning techniques for high order fuzzy time series forecasting. Eng. Appl. Artif. Intell. 87 (2020)
2010 – 2019
- 2019
- [j3]Sibarama Panigrahi, Himansu Sekhar Behera:
Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model. Int. J. Comput. Intell. Stud. 8(1/2): 4-26 (2019) - 2017
- [j2]Sibarama Panigrahi, Himansu Sekhar Behera:
A hybrid ETS-ANN model for time series forecasting. Eng. Appl. Artif. Intell. 66: 49-59 (2017) - [j1]Sibarama Panigrahi:
A novel hybrid chemical reaction optimization algorithm with adaptive differential evolution mutation strategies for higher order neural network training. Int. Arab J. Inf. Technol. 14(1): 18-25 (2017) - 2016
- [c1]Sibarama Panigrahi, Himansu Sekhar Behera, Ajith Abraham:
A Fuzzy Filter Based Hybrid ARIMA-ANN Model for Time Series Forecasting. SoCPaR 2016: 592-601
Coauthor Index
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